Instructions to use hf-tiny-model-private/tiny-random-IBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-IBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-IBertForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-IBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-IBertForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-IBertForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 813 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-IBertForTokenClassification/resolve/2e9d5dd48ad8b4fdf2651ff8943f17b94dcb391d/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-IBertForTokenClassification@2e9d5dd48ad8b4fdf2651ff8943f17b94dcb391d/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-IBertForTokenClassification/resolve/2e9d5dd48ad8b4fdf2651ff8943f17b94dcb391d/pytorch_model.bin
813 kB
- Xet hash:
- f520ccb21eafc4398400efc61d292ea85f175c396732bb827272c98f513db497
- Size of remote file:
- 813 kB
- SHA256:
- 56729e239fc7b38f7f39421b3ea280203f8bf192bcd3413396707f93e6ed020d
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